OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9525, kappa: 0.8963, kb_relative_information_score: 1530.4089, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9535, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9703, kappa: 0.9354, kb_relative_information_score: 1593.8022, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9702, predictive_accuracy: 0.9705, prior_entropy: 1.2099, recall: 0.9705, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.961, kappa: 0.9153, kb_relative_information_score: 1447.317, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9636, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8448, kappa: 0.6938, kb_relative_information_score: -905.4935, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8797, predictive_accuracy: 0.8681, prior_entropy: 1.2099, recall: 0.8681, relative_absolute_error: 1.5954, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.896, kappa: 0.7796, kb_relative_information_score: 1252.5705, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9045, predictive_accuracy: 0.8941, prior_entropy: 1.2099, recall: 0.8941, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9391, kappa: 0.8657, kb_relative_information_score: 1492.2735, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6953, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.2254, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9364, kappa: 0.8602, kb_relative_information_score: 1480.5382, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1695.3176, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9406, kappa: 0.8702, kb_relative_information_score: 1521.598, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9409, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1541.5666, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9563, kappa: 0.9055, kb_relative_information_score: 1386.8552, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9591, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1599.5585, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1562.1436, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9134, kappa: 0.8124, kb_relative_information_score: 1344.7266, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9155, predictive_accuracy: 0.9126, prior_entropy: 1.2099, recall: 0.9126, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8972, kappa: 0.8039, kb_relative_information_score: 977.626, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9206, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1482.4233, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9202, kappa: 0.8444, kb_relative_information_score: 1198.7998, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9332, predictive_accuracy: 0.9282, prior_entropy: 1.2099, recall: 0.9282, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9761, kappa: 0.948, kb_relative_information_score: 1615.7249, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.976, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9432, kappa: 0.8798, kb_relative_information_score: 1324.2043, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9472, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9015, kappa: 0.7904, kb_relative_information_score: 1260.4512, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9104, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.6674, kappa: 0.2421, kb_relative_information_score: 410.1924, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6499, predictive_accuracy: 0.7049, prior_entropy: 1.2099, recall: 0.7049, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, kappa: 0.351, kb_relative_information_score: 700.3618, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7679, prior_entropy: 1.2099, recall: 0.7679, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9728, kappa: 0.9407, kb_relative_information_score: -724.8217, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 1.5053, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9283, kappa: 0.8556, kb_relative_information_score: 1249.3315, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9384, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1501.9731, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9041, kappa: 0.8216, kb_relative_information_score: 1061.3286, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9321, predictive_accuracy: 0.919, prior_entropy: 1.2099, recall: 0.919, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9766, kappa: 0.9489, kb_relative_information_score: 1589.5106, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9775, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6869, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.1511, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9408, kappa: 0.8707, kb_relative_information_score: 1498.7474, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9615, kappa: 0.9164, kb_relative_information_score: 1478.8381, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9639, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, kappa: -0.0083, kb_relative_information_score: 37.8201, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6933, prior_entropy: 1.2099, recall: 0.6933, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7558, kappa: 0.4975, kb_relative_information_score: 582.2794, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8262, predictive_accuracy: 0.7234, prior_entropy: 1.2099, recall: 0.7234, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9354, kappa: 0.8594, kb_relative_information_score: 1409.1819, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9366, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9381, kappa: 0.8646, kb_relative_information_score: 1483.3476, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9414, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.4885, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1547.9447, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1566.8306, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.4461, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.978, kappa: 0.9519, kb_relative_information_score: 1625.2277, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1665.5242, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9046, kappa: 0.7941, kb_relative_information_score: 1305.832, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9075, predictive_accuracy: 0.9034, prior_entropy: 1.2099, recall: 0.9034, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9308, kappa: 0.8492, kb_relative_information_score: 1408.3464, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9308, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.1511, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9356, kappa: 0.8594, kb_relative_information_score: 1481.6258, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9548, kappa: 0.9012, kb_relative_information_score: 1556.9668, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9559, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9775, kappa: 0.951, kb_relative_information_score: 1582.6357, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.6395, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1547.823, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9439, kappa: 0.8773, kb_relative_information_score: 1509.6757, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9447, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9639, kappa: 0.9217, kb_relative_information_score: 1605.2378, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1563.4446, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9949, kb_relative_information_score: 1692.9032, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9978, predictive_accuracy: 0.9977, prior_entropy: 1.2099, recall: 0.9977, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.6742, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.019, root_relative_squared_error: 0.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9738, kappa: 0.9429, kb_relative_information_score: 1566.7596, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9748, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9371, kappa: 0.8665, kb_relative_information_score: 1400.3915, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9448, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9007, kappa: 0.7871, kb_relative_information_score: 1290.353, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9112, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9937, kb_relative_information_score: 1690.5676, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9425, kappa: 0.875, kb_relative_information_score: 1440.0509, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9277, kappa: 0.8414, kb_relative_information_score: 1462.3042, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9558, kappa: 0.9037, kb_relative_information_score: 1492.4038, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9014, kappa: 0.7876, kb_relative_information_score: 1309.2142, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9058, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9236, kappa: 0.8482, kb_relative_information_score: 1220.4552, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1502.5581, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.3314, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9386, kb_relative_information_score: 1580.9711, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9724, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9413, kappa: 0.8718, kb_relative_information_score: 1512.8265, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9763, kappa: 0.9483, kb_relative_information_score: 1608.8469, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9765, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9621, kappa: 0.9177, kb_relative_information_score: 1435.043, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9544, kappa: 0.9012, kb_relative_information_score: 1521.9676, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.96, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1539.3152, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9536, kappa: 0.8986, kb_relative_information_score: 1554.1102, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9092, kappa: 0.807, kb_relative_information_score: 1315.4465, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9263, predictive_accuracy: 0.9039, prior_entropy: 1.2099, recall: 0.9039, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1820.0745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9783, kappa: 0.9526, kb_relative_information_score: 1634.5082, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9795, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9626, kappa: 0.9198, kb_relative_information_score: -862.6184, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9633, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 1.5732, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4161, root_relative_squared_error: 1.2306,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs